Electric vehicle park-charge-ride programs: A planning framework and case study in Chicago

In suburban areas, combining the use of electric vehicles (EV) and transit systems in an EV Park-Charge-Ride (PCR) approach can potentially help improve transit accessibility, facilitate EV charging and adoption, and reduce the need for long-distance driving and ensuing impacts. Despite the anticipated growth of EV adoption and charging demand, PCR programs are limited. With a focus on multi-modal trips, this study proposes a generic planning process that integrates EV infrastructure development with transit systems, develops a systematic assessment approach to fostering the PCR adoption, and illustrates a case implementation in Chicago.

SI can be customized for short-term and long-term planning scenarios. SI values are derived in Chicago as an example for (1) commuter rail stations (for work trips), and (2) shopping centers near transit stops as potential opportunities for additional weekday parking and EV charging (for multi-purpose trips/MPT).

Furthermore, carbon emissions and vehicle miles traveled (VMT) across various travel modes and trip scenarios (i.e., work trips and MPT) are calculated. Compared to the baseline of driving a conventional vehicle, this study found that an EV PCR commuter can reduce up to 87% of personal VMT and 52% of carbon emissions.

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Modeling of Risks Threatening Critical Infrastructures: System Approach

The objective of this paper is to model interconnectivities among systems and subsystems of transport and critical infrastructures vulnerable to climatic events that impose the highest impacts on people and regional economies from chronic to episodic events. To achieve this objective, the study first lays out a high-level conceptual map of the interacting complex systems, then depicts some of the interconnections between and within these complex systems as related to climatic events. By outlining these interconnectivities at a high-level, analytical approach, the strategic risk register system (SRRS) is introduced to demonstrate the feasibility of capturing these interactions and links analytically, and ultimately to model risks and threats imposed on transport and civil and public systems due to climatic events. A hypothetical episodic event is initiated to examine the credibility of the methodology and the applicability of the proposed technique to model the infrastructures’ connectivity and risks imposed on the infrastructures. The outcomes demonstrate that as the level of connectivity decreases, the potency value increases.